AI/ML Engineer

Description :

Key Responsibilities :

- Develop, implement, and optimize AI/ML models with a focus on Large Language Models (LLMs).

- Design and build Generative AI applications, chatbots, and intelligent automation solutions.

- Work with LLM APIs and frameworks such as OpenAI, Hugging Face, LangChain, or similar tools.

- Integrate AI models into production-grade applications and enterprise systems.

- Perform prompt engineering, model fine-tuning, and evaluation to improve performance.

- Collaborate with cross-functional teams including data engineers, product managers, and developers.

- Ensure scalability, performance, and reliability of AI solutions.

- Stay updated with the latest advancements in AI, NLP, and LLM technologies.

Required Skills :

- Strong programming skills in Python.

- Experience with LLMs, NLP, and Generative AI technologies.

- Familiarity with frameworks such as LangChain, Hugging Face, LlamaIndex, or similar.

- Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.).

- Experience with REST APIs and AI model integration.

- Understanding of machine learning pipelines and model deployment.

- Basic knowledge of cloud platforms (AWS, Azure, or GCP).

Preferred Qualifications :

- Experience with RAG (Retrieval Augmented Generation) architectures.

- Exposure to fine-tuning LLMs and prompt engineering techniques.

- Experience in building AI-powered chatbots or automation tools.

- Knowledge of Docker, Kubernetes, or MLOps practices.